A Knowledge-Skill-Competencies e-Learning Model in Mathematics

Giovannina Albano

Abstract


This paper concerns modelling competence in mathematics in an e-learning environment. Competence is something complex, which goes beyond the cognitive level, and involves meta-cognitive and non-cognitive factors. It requires students to master knowledge and skills and at least some measurable abilities, which Niss calls ‘competencies'. We present a model that exploits the innovative technological features of the IWT platform to define a personalised learning experience allowing students to increase their competence in mathematics. It is based on knowledge and skills representations by means of a graph metaphor, and on a theoretical framework for modelling competence. 


Keywords


mathematics learning, knowledge, skill, competence, competency, e-learning



DOI: http://dx.doi.org/10.7238/rusc.v9i1.1284

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 Universitat Oberta de Catalunya. eLearn Center

RUSC. Universities and Knowledge Society Journal is an e-journal edited by the Universitat Oberta de Catalunya (Barcelona).

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